Affective bias predicts changes in depression during deep brain stimulation therapy
IntroductionDeep brain stimulation (DBS) is a promising treatment for refractory depression, utilizing surgically implanted electrodes to stimulate specific anatomical targets within the brain. However, limitations of patient-reported and clinician-administered mood assessments pose obstacles in eva...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-03-01
|
| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2025.1539857/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849393272243355648 |
|---|---|
| author | Brian Cui Madaline M. Mocchi Brian A. Metzger Prathik Kalva John F. Magnotti Jess G. Fiedorowicz Allison Waters Christopher K. Kovach Yvonne Y. Reed Raissa K. Mathura Camille Steger Bailey Pascuzzi Kourtney Kanja Ashan Veerakumar Vineet Tiruvadi Vineet Tiruvadi Andrea Crowell Lydia Denison Christopher J. Rozell Nader Pouratian Wayne Goodman Patricio Riva Posse Helen S. Mayberg Kelly Rowe Bijanki |
| author_facet | Brian Cui Madaline M. Mocchi Brian A. Metzger Prathik Kalva John F. Magnotti Jess G. Fiedorowicz Allison Waters Christopher K. Kovach Yvonne Y. Reed Raissa K. Mathura Camille Steger Bailey Pascuzzi Kourtney Kanja Ashan Veerakumar Vineet Tiruvadi Vineet Tiruvadi Andrea Crowell Lydia Denison Christopher J. Rozell Nader Pouratian Wayne Goodman Patricio Riva Posse Helen S. Mayberg Kelly Rowe Bijanki |
| author_sort | Brian Cui |
| collection | DOAJ |
| description | IntroductionDeep brain stimulation (DBS) is a promising treatment for refractory depression, utilizing surgically implanted electrodes to stimulate specific anatomical targets within the brain. However, limitations of patient-reported and clinician-administered mood assessments pose obstacles in evaluating DBS treatment efficacy. In this study, we investigated whether an affective bias task, which leverages the inherent negative interpretation bias seen in individuals with depression, could serve as a reliable measure of mood changes during DBS therapy in patients with treatment-resistant depression.MethodsTwo cohorts of patients (n = 8, n = 2) undergoing DBS for treatment-resistant depression at different academic medical centers completed an affective bias task at multiple time points before and after DBS implantation. The affective bias task involved rating the emotional content of a series of static photographic stimuli of facial expressions throughout their DBS treatment. Patients' ratings were compared with those of non-depressed controls to calculate affective bias scores. Linear mixed-effects modeling was used to assess changes in bias scores over time and their relationship with depression severity measured by the Hamilton Depression Rating Scale (HDRS-17).ResultsWe observed significant improvements in total affective bias scores over the course of DBS treatment in both cohorts. Pre-DBS, patients exhibited a negative affective bias, which was nearly eliminated post-DBS, with total bias scores approaching those of non-depressed controls. Positive valence trials showed significant improvement post-DBS, while negative valence trials showed no notable change. A control analysis indicated that stimulation status did not significantly affect bias scores, and thus stimulation status was excluded from further modeling. Linear mixed-effects modeling revealed that more negative bias scores were associated with higher HDRS-17 scores, particularly for positive valence stimuli. Additionally, greater time elapsed since DBS implantation was associated with a decrease in HDRS-17 scores, indicating clinical improvement over time.DiscussionOur findings demonstrate that the affective bias task leverages the inherent negative interpretation bias seen in individuals with depression, providing a standardized measure of how these biases change over time. Unlike traditional mood assessments, which rely on subjective introspection, the affective bias task consistently measures changes in mood, offering potential as a tool to monitor mood changes and evaluate the candidacy of DBS treatment in refractory depression. |
| format | Article |
| id | doaj-art-29d6dcbcedb14ca38245c8f637e0ba03 |
| institution | Kabale University |
| issn | 1662-5161 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj-art-29d6dcbcedb14ca38245c8f637e0ba032025-08-20T03:40:29ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612025-03-011910.3389/fnhum.2025.15398571539857Affective bias predicts changes in depression during deep brain stimulation therapyBrian Cui0Madaline M. Mocchi1Brian A. Metzger2Prathik Kalva3John F. Magnotti4Jess G. Fiedorowicz5Allison Waters6Christopher K. Kovach7Yvonne Y. Reed8Raissa K. Mathura9Camille Steger10Bailey Pascuzzi11Kourtney Kanja12Ashan Veerakumar13Vineet Tiruvadi14Vineet Tiruvadi15Andrea Crowell16Lydia Denison17Christopher J. Rozell18Nader Pouratian19Wayne Goodman20Patricio Riva Posse21Helen S. Mayberg22Kelly Rowe Bijanki23Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United StatesDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX, United StatesDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX, United StatesDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX, United StatesDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, PA, United StatesOttawa Hospital Research Institute, University of Ottawa, Ottawa, ON, CanadaNash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, United StatesDepartment of Neurosurgery, Carver College of Medicine, University of Iowa, Iowa City, IA, United StatesDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX, United StatesDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX, United StatesNash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, United StatesDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX, United StatesDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX, United StatesDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United StatesDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United StatesSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United StatesDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United StatesDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United StatesSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United StatesDepartment of Neurosurgery, University of Texas Southwestern, Dallas, TX, United StatesDepartment of Psychiatry, Baylor College of Medicine, Houston, TX, United StatesDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United StatesDepartment of Neurosurgery, Carver College of Medicine, University of Iowa, Iowa City, IA, United StatesDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX, United StatesIntroductionDeep brain stimulation (DBS) is a promising treatment for refractory depression, utilizing surgically implanted electrodes to stimulate specific anatomical targets within the brain. However, limitations of patient-reported and clinician-administered mood assessments pose obstacles in evaluating DBS treatment efficacy. In this study, we investigated whether an affective bias task, which leverages the inherent negative interpretation bias seen in individuals with depression, could serve as a reliable measure of mood changes during DBS therapy in patients with treatment-resistant depression.MethodsTwo cohorts of patients (n = 8, n = 2) undergoing DBS for treatment-resistant depression at different academic medical centers completed an affective bias task at multiple time points before and after DBS implantation. The affective bias task involved rating the emotional content of a series of static photographic stimuli of facial expressions throughout their DBS treatment. Patients' ratings were compared with those of non-depressed controls to calculate affective bias scores. Linear mixed-effects modeling was used to assess changes in bias scores over time and their relationship with depression severity measured by the Hamilton Depression Rating Scale (HDRS-17).ResultsWe observed significant improvements in total affective bias scores over the course of DBS treatment in both cohorts. Pre-DBS, patients exhibited a negative affective bias, which was nearly eliminated post-DBS, with total bias scores approaching those of non-depressed controls. Positive valence trials showed significant improvement post-DBS, while negative valence trials showed no notable change. A control analysis indicated that stimulation status did not significantly affect bias scores, and thus stimulation status was excluded from further modeling. Linear mixed-effects modeling revealed that more negative bias scores were associated with higher HDRS-17 scores, particularly for positive valence stimuli. Additionally, greater time elapsed since DBS implantation was associated with a decrease in HDRS-17 scores, indicating clinical improvement over time.DiscussionOur findings demonstrate that the affective bias task leverages the inherent negative interpretation bias seen in individuals with depression, providing a standardized measure of how these biases change over time. Unlike traditional mood assessments, which rely on subjective introspection, the affective bias task consistently measures changes in mood, offering potential as a tool to monitor mood changes and evaluate the candidacy of DBS treatment in refractory depression.https://www.frontiersin.org/articles/10.3389/fnhum.2025.1539857/fullaffective biasfacial emotionmood proxydeep brain stimulationsubcallosal cingulateventral capsule striatum |
| spellingShingle | Brian Cui Madaline M. Mocchi Brian A. Metzger Prathik Kalva John F. Magnotti Jess G. Fiedorowicz Allison Waters Christopher K. Kovach Yvonne Y. Reed Raissa K. Mathura Camille Steger Bailey Pascuzzi Kourtney Kanja Ashan Veerakumar Vineet Tiruvadi Vineet Tiruvadi Andrea Crowell Lydia Denison Christopher J. Rozell Nader Pouratian Wayne Goodman Patricio Riva Posse Helen S. Mayberg Kelly Rowe Bijanki Affective bias predicts changes in depression during deep brain stimulation therapy Frontiers in Human Neuroscience affective bias facial emotion mood proxy deep brain stimulation subcallosal cingulate ventral capsule striatum |
| title | Affective bias predicts changes in depression during deep brain stimulation therapy |
| title_full | Affective bias predicts changes in depression during deep brain stimulation therapy |
| title_fullStr | Affective bias predicts changes in depression during deep brain stimulation therapy |
| title_full_unstemmed | Affective bias predicts changes in depression during deep brain stimulation therapy |
| title_short | Affective bias predicts changes in depression during deep brain stimulation therapy |
| title_sort | affective bias predicts changes in depression during deep brain stimulation therapy |
| topic | affective bias facial emotion mood proxy deep brain stimulation subcallosal cingulate ventral capsule striatum |
| url | https://www.frontiersin.org/articles/10.3389/fnhum.2025.1539857/full |
| work_keys_str_mv | AT briancui affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT madalinemmocchi affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT brianametzger affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT prathikkalva affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT johnfmagnotti affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT jessgfiedorowicz affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT allisonwaters affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT christopherkkovach affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT yvonneyreed affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT raissakmathura affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT camillesteger affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT baileypascuzzi affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT kourtneykanja affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT ashanveerakumar affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT vineettiruvadi affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT vineettiruvadi affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT andreacrowell affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT lydiadenison affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT christopherjrozell affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT naderpouratian affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT waynegoodman affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT patriciorivaposse affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT helensmayberg affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy AT kellyrowebijanki affectivebiaspredictschangesindepressionduringdeepbrainstimulationtherapy |